Course on - 'Movement ecology' (MOVE01)

https://www.prstatistics.com/course/movement-ecology-move01/

Who: Taught by Prof. Luca Borger, Prof. Rory Wilson, Dr. Jonathan Potts

Where: Margam Discovery Centre, Magram Park, Port Talbot , SA13 2UA United 
Kingdom 

When: 19th - 23rd February 2018

What: Course Overview:
The course will cover the concepts, technology and software tools that can 
be used to analyse movement data (from ringing/CMR to VHF/GPS to novel 
biologging data) in ecology and evolution, covering analysis techniques 
applicable broadly to most taxa, from micro-organisms to plants and 
animals. We will cover elementary and advanced analysis and modelling 
techniques broadly applicable across taxa, highlighting the advantages of a 
unified Movement Ecology framework. We will provide the necessary bases in 
ecology (especially behavioural ecology), physics and 
mathematics/statistics, to be able to identify for any specific research 
question the most appropriate study species, logging technology (incl. 
attachment methods), and statistical/mathematical modelling approach. We 
will specifically address the challenges and opportunities at each of the 
steps of the proposed ‘question-driven approach’, combining hands-on 
sessions with new biologging technology with computer-based practicals in R 
and specialized software for biologging data developed by the SLAM lab at 
Swansea University. We will also address the challenges of applying the 
results of the analyses to applied management problems and communicate the 
findings to non-experts.

Monday 19th – Classes from 09:00 to 17:00
Module 1: Introduction to Movement Ecology – Theory, followed by hands on 
experience of deploying and collecting GPS & Biologging data (Daily Diary 
tags), incl. attachment methods & data quality
Module 2: Accelerometers & pressure/depth sensors– quantifying speed, 
behaviour, individual state & energetics

Tuesday 20th – Classes from 09:00 to 17:00
Module 3: Magnetometers – identifying orientation and animal behaviour
Module 4: Dead reckoning – reconstructing sub-second animal trajectories

Wednesday 21st – Classes from 09:00 to 17:00
Module 5: Movement path analysis I – from steps and turns to movement path 
segmentation
Module 6: Movement path analysis II – the squared displacement method and 
movement modes (foraging trips, home range, dispersal, migration, nomadism)

Thursday 22nd – Classes from 09:00 to 17:00
Module 7: Space use analysis – Home range estimation (2D & 3D) and 
quantification of individual interactions (static and dynamic approaches)
Module 8: Modelling animal movements: statistical and mathematical 
approaches

Friday 23rd – Classes from 09:00 to 16:00
Module 9: Habitat use and resource selection: from classical models to 
integrated step selection models
Modules 10: Joint modelling of animal movement and behaviour

Please send enquiries to oliverhoo...@prstatistics.com or visit 
www.prstatistics.com

Please feel free to share this information anywhere you feel it is suitable.

Other upcoming co9urses are as follows

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10.     DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP
11th – 15th December 2017, Wales, Dr. Martin Jones
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29th Jan – 2nd Feb 2018, SCENE, Scotland, Dr. Andrew Parnell
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19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg
https://www.prstatistics.com/course/movement-ecology-move01/

14.     GEOMETRIC MORPHOMETRICS USING R #GMMR
19th – 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
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14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash 
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22.     STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew 
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Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

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